1 |
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621-634. https://doi.org/10.1080/01621459.1999.10474156
DOI
|
2 |
Abbasi, K. R., Shahbaz, M., Jiao, Z., & Tufail, M. (2021). How do energy consumption, industrial growth, urbanization, and CO2 emissions affect economic growth in Pakistan? A novel dynamic ARDL simulations approach. Energy, 221, 119793. https://doi.org/10.1016/j.energy.2021.119793
DOI
|
3 |
Adedokun, A. (2018). The effects of oil shocks on government expenditures and government revenues nexus in Nigeria (with exogeneity restrictions). Future Business Journal, 4(2), 219-232. https://doi.org/10.1016/j.fbj.2018.06.003
DOI
|
4 |
Xu, F., Huang, Q., Yue, H., He, C., Wang, C., & Zhang, H. (2020). Reexamining the relationship between urbanization and pollutant emissions in china based on the STIRPAT model. Journal of Environmental Management, 273, 111134. https://doi.org/10.1016/j.jenvman.2020.111134
DOI
|
5 |
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427-431. https://doi.org/10.2307/2286348
DOI
|
6 |
Al-Bajjali, S. K., & Shamayleh, A. Y. (2018). Estimating the determinants of electricity consumption in Jordan. Energy, 147, 1311-1320. https://doi.org/10.1016/j.energy.2018.01.010
DOI
|
7 |
Basuki, A. T., Purwaningsih, Y., Soesilo, A. M., & Mulyanto, M. (2020). Determinants of economic growth in Indonesia: A dynamic panel model. Journal of Asian Finance, Economics, and Business, 7(11), 147-156. https://doi.org/10.13106/jafeb.2020.vol7.no11.147
DOI
|
8 |
Bekhet, H. A., & Othman, N. S. (2012). Examining the role of fiscal policy in the Malaysian stock market. International Business Research, 5(12), 59-67. http://doi.org/10.5539/ibr.v5n12p59
DOI
|
9 |
Ismail, N. A., & Houssein, A. E. M. E. (2020). The impact of fiscal policy on GDP per capita: Evidence from Malaysia. International Journal of Politics, Public Policy, and Social Works, 2(5), 14-25. https://doi.org/10.35631/IJPPSW.25002
DOI
|
10 |
Othman, N. S., & Bekhet, H. A. (2021). Dynamic effects of Malaysia's government spending on environment quality: Bridging STIRPAT and EKC hypothesis. International Journal of Energy Economics and Policy, 11(5), 343-355. https://doi.org/10.32479/ijeep.11273
DOI
|
11 |
Tsaurai, K., & Odhiambo, N. M. (2013). Government expenditure and economic growth in Zimbabwe: An ARDL-bounds testing approach. International Journal of Economic Policy in Emerging Economies, 6(1), 78-90. https://doi.org/10.1504/IJEPEE.2013.054474
DOI
|
12 |
Law, S. H. (2008). Does a country's openness to trade and capital accounts lead to financial development: Evidence from Malaysia. Asian Economic Journal, 22(2), 161-177. https://doi.org/10.1111/j.1467-8381.2008.00273.x
DOI
|
13 |
Alzyadat, A. J., Al-Nsour, A. I. (2021). The fiscal policy instruments and the economic prosperity in Jordan. Journal of Asian Finance, Economics, and Business, 8(1), 113-122. https://doi.org/10.13106/jafeb.2021.vol8.no1.113
DOI
|
14 |
Narayan, P. K. (2005). The government revenue and government expenditure nexus: Empirical evidence from nine Asian countries. Journal of Asian Economics, 15(6), 1203-1216. https://doi.org/10.1016/j.asieco.2004.11.007
DOI
|
15 |
Zhang, L., Godil, D. I., Bibi, M., Khan, M. K., Sarwat, S., & Anser, M. K. (2021). Caring for the environment: How do human capital, natural resources, and economic growth interact with environmental degradation in Pakistan? A dynamic ARDL approach. Science of the Total Environment, 774, 145553. https://doi.org/10.1016/j.scitotenv.2021.145553
DOI
|
16 |
Magazzino, C. (2012). Wagner versus Keynes: Public spending and national income in Italy. Journal of Policy Modeling, 34(6), 890-905. https://doi.org/10.1016/j.jpolmod.2012.05.012
DOI
|
17 |
Mehrara, M. (2014). Government expenditure and economic growth: An ARDL approach for the case of Iran. International Journal of Research in Social Sciences, 4(1), 72.
|
18 |
Pesaran, M. H., & Shin, Y. (1995). An autoregressive distributed lag modeling approach to cointegration analysis. NJ: Sage.
|
19 |
Hamdi, H., & Sbia, R. (2013). Dynamic relationships between oil revenues, government spending, and economic growth in an oil-dependent economy. Economic Modelling, 35, 118-125. https://doi.org/10.1016/j.econmod.2013.06.043
DOI
|
20 |
Adebumiti, Q., & Mansur, M. (2018). Economic growth, energy consumption, and government expenditure: evidence from a nonlinear ARDL analysis (MPRA Paper no. 87527). Munich, Germany: MPRA. https://mpra.ub.uni-muenchen.de/87527/
|
21 |
Chishti, M. Z., Ahmad, M., Rehman, A., & Khan, M. K. (2021). Mitigations pathways towards sustainable development: Assessing the influence of fiscal and monetary policies on carbon emissions in BRICS economies. Journal of Cleaner Production, 292, 126035. https://doi.org/10.1016/j.jclepro.2021.126035
DOI
|
22 |
Karagoz, K., & Keskin, R. (2016). Impact of fiscal policy on the macroeconomic aggregates in turkey: Evidence from BVAR model. Procedia Economics and Finance, 38, 408-420. https://doi.org/10.1016/S2212-5671(16)30212-X
DOI
|
23 |
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of long-run relationships. Journal of Applied Econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616
DOI
|
24 |
Singhania, M., & Saini, N. (2020). Revisiting environmental degradation and economic growth nexus using the autoregressive distributed lag approach. International Journal of Productivity and Performance Management, 69(8), 1765-1796. https://doi.org/10.1108/IJPPM-10-2019-0509
DOI
|
25 |
Stoian, A., & Iorgulescu, F. (2020). Fiscal policy and stock market efficiency: An ARDL bounds testing approach. Economic Modelling, 90, 406-416. https://doi.org/10.1016/j.econmod.2019.12.023
DOI
|
26 |
Arvin, M. B., Pradhan, R. P., & Nair, M. S. (2021). Are there links between institutional quality, government expenditure, tax revenue, and economic growth? Evidence from low-income and lower-middle-income countries. Economic Analysis and Policy, 70, 468-489. https://doi.org/10.1016/j.eap.2021.03.011
DOI
|
27 |
Mazorodze, B. T. (2018). Government expenditure and economic growth in Zimbabwe. African Journal of Business and Economic Research, 13(2), 183-202. https://doi.org/10.31920/1750-4562/2018/v13n2a9
DOI
|
28 |
Lahirushan, K. P. K., & Gunasekara, W. G. V. (2015). The impact of government expenditure on economic growth: A study of Asian countries. World Academy of Science Engineering and Technology International Journal of Humanities and Social Sciences, 9(9), 3152-3160.
|
29 |
Othman, N. S., Bekhet, H. A., & Lojuntin, S. A. (2020). Does Government expenditure contribute to Malaysia's environmental sustainability? A dynamic analysis. Global Business and Management Research: An International Journal, 12(4), 61-72.
|
30 |
Sivitanides, P. S. (2018). Macroeconomic drivers of London house prices. Journal of Property Investment and Finance, 36(6), 539-551. https://doi.org/10.1108/JPIF-02-2018-0012
DOI
|
31 |
The Edge Market. (2020). Government, 2020 expenditure allocation revised to RM314.7b from RM297b. https://www.http://theedgemarkets.com/article/govt-2020-expenditureallocationrevised-rm3147b-rm297b
|
32 |
Hsing, Y. (2019). Is expansionary fiscal and monetary policy effective in Australia? Journal of Business Economics and Environmental Studies, 9(3), 5-9. https://doi.org/10.13106/jbees.2019.vol9.no3.5
DOI
|
33 |
Zulkofli, A. Z., Nasiruddin, K., & Ismail, F. R. (2018). Government expenditure on education and healthcare to the effect on GDP value: A case of Malaysia. International Journal of Accounting and Business Management, 6(1), 95-112. https://doi.org/10.24924/ijabm/2018.04/v6.iss1/95.112
DOI
|
34 |
Kawohl, W., & Nordt, C. (2020). COVID-19, unemployment, and suicide. Lancet Psychiatry, 7(5), 389-390. https://doi.org/10.1016/S2215-0366(20)30141-3
DOI
|